The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Kybernetes Pub Date : 2024-07-19 DOI:10.1108/k-03-2024-0554
Giulio Marchena Sekli
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引用次数: 0

Abstract

Purpose

The aim of this study is to offer valuable insights to businesses and facilitate better understanding on transformer-based models (TBMs), which are among the widely employed generative artificial intelligence (GAI) models, garnering substantial attention due to their ability to process and generate complex data.

Design/methodology/approach

Existing studies on TBMs tend to be limited in scope, either focusing on specific fields or being highly technical. To bridge this gap, this study conducts robust bibliometric analysis to explore the trends across journals, authors, affiliations, countries and research trajectories using science mapping techniques – co-citation, co-words and strategic diagram analysis.

Findings

Identified research gaps encompass the evolution of new closed and open-source TBMs; limited exploration across industries like education and disciplines like marketing; a lack of in-depth exploration on TBMs' adoption in the health sector; scarcity of research on TBMs' ethical considerations and potential TBMs' performance research in diverse applications, like image processing.

Originality/value

The study offers an updated TBMs landscape and proposes a theoretical framework for TBMs' adoption in organizations. Implications for managers and researchers along with suggested research questions to guide future investigations are provided.

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生成式人工智能的研究现状:基于变压器模型的文献计量分析
目的本研究旨在为企业提供有价值的见解,并促进更好地理解基于变压器的模型(TBM),TBM 是广泛使用的生成式人工智能(GAI)模型之一,因其处理和生成复杂数据的能力而备受关注。为了弥补这一不足,本研究采用科学图谱技术--共引、共词和战略图表分析--进行了可靠的文献计量分析,以探索期刊、作者、所属单位、国家和研究轨迹之间的趋势。研究结果确定的研究空白包括:新的封闭式和开源 TBM 的演变;对教育等行业和营销等学科的探索有限;缺乏对卫生部门采用 TBM 的深入探讨;缺乏对 TBM 的道德考虑因素的研究,以及对图像处理等不同应用中潜在的 TBM 性能的研究。该研究为管理人员和研究人员提供了启示,并提出了指导未来调查的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kybernetes
Kybernetes 工程技术-计算机:控制论
CiteScore
4.90
自引率
16.00%
发文量
237
审稿时长
4.3 months
期刊介绍: Kybernetes is the official journal of the UNESCO recognized World Organisation of Systems and Cybernetics (WOSC), and The Cybernetics Society. The journal is an important forum for the exchange of knowledge and information among all those who are interested in cybernetics and systems thinking. It is devoted to improvement in the understanding of human, social, organizational, technological and sustainable aspects of society and their interdependencies. It encourages consideration of a range of theories, methodologies and approaches, and their transdisciplinary links. The spirit of the journal comes from Norbert Wiener''s understanding of cybernetics as "The Human Use of Human Beings." Hence, Kybernetes strives for examination and analysis, based on a systemic frame of reference, of burning issues of ecosystems, society, organizations, businesses and human behavior.
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